Drimva

Meta

ASIC Engineer, Design Verification

$114K–$172K

Sunnyvale, CA +1 · Full-time · Posted Jun 24, 2026

Location
Sunnyvale, CA
Austin, TX
Experience
2+ years in each of the two verification areas specified in the qualifications.
Education
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; degree must be completed prior to joining Meta.

About the job

Verifies ASIC IP and SoC designs for data center applications, from test planning and testbench development through coverage-driven closure and debug.

What you'll do

  • Define verification plans and build testbenches for blocks, IP, subsystems, and SoCs; develop functional tests.
  • Drive verification closure using test-plan metrics, functional coverage, and code coverage; debug and resolve design failures with Design teams.
  • Collaborate with Design, Model, Emulation, and Silicon Validation teams to meet design-quality goals.

What they ask for

  • 2+ years of hands-on experience in SystemVerilog/UVM methodology or C/C++-based verification.
  • 2+ years of block/IP/subsystem and/or SoC verification using SystemVerilog UVM/OVM methodologies.
  • Experience with EDA tools and verification scripting, revision control systems, and developing UVM verification environments from scratch.
  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; degree must be completed before joining.

Nice to have

  • Experience with high-speed interfaces such as PCIe, DDR, or Ethernet; ARM/RISC-V subsystems; or data-center designs such as Video, AI/ML, and Networking.
  • Experience architecting verification infrastructure and executing the full verification cycle; track record of first-pass ASIC success.

Pay

USD $114,000/year to $172,000/year (base salary); bonus and equity are also stated, with no amounts specified.

Tools

SystemVerilog, UVM, C/C++, Python, TCL, Perl, Shell, Mercurial(Hg), Git or SVN

AI focus

Verification of data-center designs including Artificial Intelligence/Machine Learning (AI/ML).

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)